Data Scientist

PENN Entertainment, Inc. is North America’s leading provider of integrated entertainment, sports content, and casino gaming experiences. From casinos and racetracks to online gaming, sports betting and entertainment content, we deliver the experiences people want, how and where they want them.

We’re always on the lookout for those who are passionate about creating and delivering cutting-edge online gaming and sports media products. Whether it’s through ESPN BET, Hollywood Casino, theScore Bet Sportsbook & Casino, or theScore media app, we’re excited to push the boundaries of what’s possible. These state-of-the-art platforms are powered by proprietary in-house technology, a key component of PENN’s omnichannel gaming and entertainment strategy.

When you join PENN Entertainment’s digital team, you’ll not only work on these cutting-edge platforms through theScore and PENN Interactive, but you’ll also be part of a company that truly cares about your career growth. We’re committed to supporting you as you expand your skills and explore new opportunities.

With locations throughout North America, you can build a future at PENN Entertainment wherever you are. If you want to challenge conventions in gaming, media and entertainment, we want to talk to you.

• Machine learning & statistical modeling: we want to be able to predict the likelihood or expected outcome of various events across different sports.
• AB Testing: we want data to inform the development of our products and features.
• Predictive & Prescriptive Analytics: we want to share in-depth knowledge on how our features are working and our forecasts are performing.
• Developing pipelines and developing models: we work closely with data and infrastructure engineers to deploy our models and develop required data pipelines to build data products.
• Develop best practices for our internal data processes that include model building, modeling techniques, improved latency, and readability.
• Design and build new predictive models and optimization routines that have an enterprise level impact. This varies from modeling expected sporting outcomes at an event level to utilizing various game state data to simulate full spectrums of expected outcomes.
• Collaborate with other members of the Data Science and Engineering teams on ways to approach problems, augment code, and share new techniques.
• Deploy modeling deliverables in conjunction with functional team leaders and stakeholders (in Product, Trading, etc.).
• Analyze results using solid statistical methods to iteratively improve data products.
• Communicate clearly, efficiently, and empathetically with technical and non-technical stakeholders.
• Write and maintain technical design and git/confluence documentation.
• Other duties as required.

• 4+ Years of experience working as a Data Scientist
• Experience solving quantitative problems with MLB Sports modelling data.
• A firm grasp of utilizing sport-specific problem-solving techniques to model various elements of the game.
• The ability to dynamically project various aspects of player and team performance.
• Proficiency in developing simulations replicating the dynamics and intricacies of a sporting game.
• Proficient at writing code in Python and SQL to create meaningful insights.
• Experienced at creating algorithms, features, and applying machine learning data models to solve sports problems.
• Collaboratively iterative on data science products in an experimental fashion to rapidly adapt and improve products.
• Understanding of classification, regression and forecasting models, and A/B testing.
• Experience provisioning services using GitHub.
• Ability to take ownership of your work to achieve the necessary high-level objectives.

• Familiarity with MLFlow.
• Familiarity with AWS/GCP.
• Experience setting up ML CI/CD pipelines, testing and validating code/data, managing databases, and deploying models.
• Experience with any of Docker, Kubernetes with Terraform, Cloudwatch

• Competitive compensation package
• Education and conference reimbursements
• Opportunities for career progression and mentoring others

#LI-Remote

Initial placement within the salary range is based on an individual's relevant knowledge, skills, and experience. Base salary is just one component of our competitive Total Rewards package, which includes wellness programs designed to support our team members' financial, physical, and mental well-being. Specific benefits—such as day-one medical coverage, 401(k) matching, annual performance bonus and equity package — depending on position. Paid time off is earned according to the local policy and increases with the length of employment.

Click HERE to discover how we empower team members to grow, thrive, and advance in their careers. Check out our LinkedIn page!